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Saban Öztürk
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2020 – today
- 2024
- [j27]Irmak Sivgin, Hasan Atakan Bedel, Saban Öztürk, Tolga Çukur:
A Plug-In Graph Neural Network to Boost Temporal Sensitivity in fMRI Analysis. IEEE J. Biomed. Health Informatics 28(9): 5323-5334 (2024) - 2023
- [j26]Salman Ul Hassan Dar, Saban Öztürk, Muzaffer Özbey, Kader Karli Oguz, Tolga Çukur:
Parallel-stream fusion of scan-specific and scan-general priors for learning deep MRI reconstruction in low-data regimes. Comput. Biol. Medicine 167: 107610 (2023) - [j25]Saban Öztürk, Tolga Çukur:
Focal modulation network for lung segmentation in chest X-ray images. Turkish J. Electr. Eng. Comput. Sci. 31(6): 1006-1020 (2023) - [j24]Fayadh Alenezi, Ammar Armghan, Abdullah G. Alharbi, Saban Öztürk, Sara A. Althubiti, Romany Fouad Mansour:
Reverse gamma correction based GARCH model for underwater image dehazing and detail exposure. Expert Syst. Appl. 232: 120856 (2023) - [j23]Saban Öztürk, Emin Çelik, Tolga Çukur:
Content-based medical image retrieval with opponent class adaptive margin loss. Inf. Sci. 637: 118938 (2023) - [j22]Alper Güngör, Salman Ul Hassan Dar, Saban Öztürk, Yilmaz Korkmaz, Hasan Atakan Bedel, Gökberk Elmas, Muzaffer Özbey, Tolga Çukur:
Adaptive diffusion priors for accelerated MRI reconstruction. Medical Image Anal. 88: 102872 (2023) - [j21]Muzaffer Özbey, Onat Dalmaz, Salman Ul Hassan Dar, Hasan Atakan Bedel, Saban Öztürk, Alper Güngör, Tolga Çukur:
Unsupervised Medical Image Translation With Adversarial Diffusion Models. IEEE Trans. Medical Imaging 42(12): 3524-3539 (2023) - [c3]Saban Öztürk, Tolga Çukur:
Focal Modulation Based End-to-End Multi-Label Classification for Chest X-Ray Image Classification. SIU 2023: 1-4 - [i9]Saban Öztürk, Mehmet Yigit Turali, Tolga Çukur:
HydraViT: Adaptive Multi-Branch Transformer for Multi-Label Disease Classification from Chest X-ray Images. CoRR abs/2310.06143 (2023) - 2022
- [j20]Fayadh Alenezi, Saban Öztürk, Ammar Armghan, Kemal Polat:
An effective hashing method using W-Shaped contrastive loss for imbalanced datasets. Expert Syst. Appl. 204: 117612 (2022) - [j19]Saban Öztürk, Tolga Çukur:
Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets. IEEE J. Biomed. Health Informatics 26(9): 4679-4690 (2022) - [i8]Saban Öztürk, Tolga Çukur:
Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets. CoRR abs/2204.02275 (2022) - [i7]Salman Ul Hassan Dar, Saban Öztürk, Yilmaz Korkmaz, Gökberk Elmas, Muzaffer Özbey, Alper Güngör, Tolga Çukur:
Adaptive Diffusion Priors for Accelerated MRI Reconstruction. CoRR abs/2207.05876 (2022) - [i6]Muzaffer Özbey, Salman Ul Hassan Dar, Hasan Atakan Bedel, Onat Dalmaz, Saban Öztürk, Alper Güngör, Tolga Çukur:
Unsupervised Medical Image Translation with Adversarial Diffusion Models. CoRR abs/2207.08208 (2022) - [i5]Saban Öztürk, Emin Çelik, Tolga Çukur:
Content-Based Medical Image Retrieval with Opponent Class Adaptive Margin Loss. CoRR abs/2211.15371 (2022) - 2021
- [j18]Saban Öztürk:
Class-driven content-based medical image retrieval using hash codes of deep features. Biomed. Signal Process. Control. 68: 102601 (2021) - [j17]Saban Öztürk, Adi Alhudhaif, Kemal Polat:
Attention-based end-to-end CNN framework for content-based X-ray image retrieval. Turkish J. Electr. Eng. Comput. Sci. 29(SI-1): 2680-2693 (2021) - [j16]Hatem F. Sindi, Majid Kamal A. Nour, Muhyaddin Jamal H. Rawa, Saban Öztürk, Kemal Polat:
A novel hybrid deep learning approach including combination of 1D power signals and 2D signal images for power quality disturbance classification. Expert Syst. Appl. 174: 114785 (2021) - [j15]Hatem F. Sindi, Majid Kamal A. Nour, Muhyaddin Jamal H. Rawa, Saban Öztürk, Kemal Polat:
An adaptive deep learning framework to classify unknown composite power quality event using known single power quality events. Expert Syst. Appl. 178: 115023 (2021) - [j14]Saban Öztürk, Umut Özkaya, Mücahid Barstugan:
Classification of Coronavirus (COVID-19) from X-ray and CT images using shrunken features. Int. J. Imaging Syst. Technol. 31(1): 5-15 (2021) - [j13]Saban Öztürk, Umut Özkaya:
Residual LSTM layered CNN for classification of gastrointestinal tract diseases. J. Biomed. Informatics 113: 103638 (2021) - [j12]Enes Yigit, Umut Özkaya, Saban Öztürk, Dilbag Singh, Hassène Gritli:
Automatic Detection of Power Quality Disturbance Using Convolutional Neural Network Structure with Gated Recurrent Unit. Mob. Inf. Syst. 2021: 7917500:1-7917500:11 (2021) - [j11]Majid Kamal A. Nour, Saban Öztürk, Kemal Polat:
A novel classification framework using multiple bandwidth method with optimized CNN for brain-computer interfaces with EEG-fNIRS signals. Neural Comput. Appl. 33(22): 15815-15829 (2021) - [c2]Mücahid Barstugan, Umut Ozkaya, Saban Öztürk:
Coronavirus (Covid-19) Classification Using CT Images by Machine Learning Methods. RTA-CSIT 2021: 29-35 - [i4]Saban Öztürk, Enes Yigit, Umut Ozkaya:
Fused Deep Features Based Classification Framework for COVID-19 Classification with Optimized MLP. CoRR abs/2103.09904 (2021) - 2020
- [j10]Saban Öztürk, Rehan Ahmad, Nadeem Akhtar:
Variants of Artificial Bee Colony algorithm and its applications in medical image processing. Appl. Soft Comput. 97(Part): 106799 (2020) - [j9]Saban Öztürk:
Stacked auto-encoder based tagging with deep features for content-based medical image retrieval. Expert Syst. Appl. 161: 113693 (2020) - [j8]Majid Kamal A. Nour, Hatem F. Sindi, Ehab Atif Abozinadah, Saban Öztürk, Kemal Polat:
A healthcare evaluation system based on automated weighted indicators with cross-indicators based learning approach in terms of energy management and cybersecurity. Int. J. Medical Informatics 144: 104300 (2020) - [j7]Saban Öztürk, Umut Özkaya:
Skin Lesion Segmentation with Improved Convolutional Neural Network. J. Digit. Imaging 33(4): 958-970 (2020) - [j6]Saban Öztürk, Umut Özkaya:
Gastrointestinal tract classification using improved LSTM based CNN. Multim. Tools Appl. 79(39-40): 28825-28840 (2020) - [i3]Mücahid Barstugan, Umut Ozkaya, Saban Öztürk:
Coronavirus (COVID-19) Classification using CT Images by Machine Learning Methods. CoRR abs/2003.09424 (2020) - [i2]Umut Ozkaya, Saban Öztürk, Mücahid Barstugan:
Coronavirus (COVID-19) Classification using Deep Features Fusion and Ranking Technique. CoRR abs/2004.03698 (2020) - [i1]Umut Özkaya, Saban Öztürk, Serkan Budak, Farid Melgani, Kemal Polat:
Classification of COVID-19 in Chest CT Images using Convolutional Support Vector Machines. CoRR abs/2011.05746 (2020)
2010 – 2019
- 2019
- [j5]Saban Öztürk, Bayram Akdemir:
HIC-net: A deep convolutional neural network model for classification of histopathological breast images. Comput. Electr. Eng. 76: 299-310 (2019) - [j4]Saban Öztürk, Bayram Akdemir:
Cell-type based semantic segmentation of histopathological images using deep convolutional neural networks. Int. J. Imaging Syst. Technol. 29(3): 234-246 (2019) - [j3]Saban Öztürk, Bayram Akdemir:
A convolutional neural network model for semantic segmentation of mitotic events in microscopy images. Neural Comput. Appl. 31(8): 3719-3728 (2019) - 2018
- [j2]Saban Öztürk, Bayram Akdemir:
Phase classification of mitotic events using selective dictionary learning for stem cell populations. Comput. Electr. Eng. 67: 25-37 (2018) - [j1]Saban Öztürk, Bayram Akdemir:
Effective histopathological image area reduction method for real-time applications. J. Electronic Imaging 27(05): 051213 (2018) - 2016
- [c1]Saban Öztürk, Bayram Akdemir:
Novel BiasFeed cellular neural network model for glass defect inspection. CoDIT 2016: 366-371
Coauthor Index
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last updated on 2024-09-21 23:42 CEST by the dblp team
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